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Location

Description

Aimed at those working in Material Science and Topological Data Analysis, this one-day workshop aims to explore potential new collaborations and research areas.

Topological Data Analysis (TDA) uses techniques from algebraic topology to analyse datasets that are often incomplete, high-dimensional and noisy. TDA provides researchers with a framework to analyse data in a manner that is not sensitive to a particular metric while providing dimension reduction and robustness to noise.

For those working in Material Science, TDA provides a novel language that can easily describe the complex morphologies that are often seen in nano-materials, colloids, foams and alloys: morphologies that are not easily described by more conventional methods such as fractal dimensions. TDA also provides a mechanism to quantify different morphologies that can be caused by material ageing and the different conditions that exist during sample preparation.

Aim of the workshop:To provide a platform that will enable those working in Material Science and TDA to develop new collaborative relationships and discuss research questions and project ideas. It is hoped that these discussions will lead to at least one significant research proposal.

Workshop details:The workshop will consist of two plenary sessions, a project discussion and networking session and a closing panel session.